Symbol Recognition: Cognitive Approach

The field of Computer Science has been solving issues related to the domains of data, information, knowledge and intelligence, obviously in a chronological manner. Among these the issue of Symbol Recognition has received lot of attention. The procedure of analyzing and recognizing symbols involves various stages. A number of algorithms have been devised and implemented for the purpose of symbol recognition but usually focus on complex features and properties. In this paper, we propose a cognitive model for the recognition of offline machine drawn symbols which uses minimal amount of data. The algorithm proposed is independent of the size/slant of the symbol.